Sentiment Analysis
Discover the emotional tones and shifts in customer reviews, and automatically measure satisfaction levels.
Understand the Sentiment Tones in Reviews
AI-powered sentiment analysis automatically detects the emotions customers express in their reviews. It analyzes positive, negative, and neutral comments, as well as more nuanced emotions like satisfaction, frustration, anger, excitement, and surprise.
Sentiment Distribution Graph
Multi-Dimensional Sentiment Analysis
Beyond basic sentiments, it detects complex emotional states and transitions within comments. It can distinguish multiple emotional tones when present in a single review.
Sentiment Intensity Measurement
Determines the intensity level for each type of emotion. It measures the full spectrum of emotions, from mild satisfaction to complete contentment, or from slight frustration to anger.
Sentiment Trend Tracking
Monitors changes in customer sentiments over time. You can observe how events like new product launches, price changes, or campaigns affect customer emotions.
Sentiment Anomaly Detection
Automatically detects and alerts you to sudden changes in sentiment. You can quickly intervene in abrupt drops in customer satisfaction.
Real-time Sentiment Analysis
Try our system that instantly analyzes sentiment when you enter a customer review. Our AI technology assesses the emotional tone and intensity of the comment in seconds.
"This restaurant has a great atmosphere and the food was delicious. However, the service was a bit slow and the waiter wasn't very attentive. Still, overall it was a good experience."
Demo Screenshot
Use Cases
Customer Satisfaction Monitoring
Automatically track satisfaction levels and quickly identify downward trends using sentiment analysis of customer reviews.
Product Development
Identify areas for improvement by analyzing emotional responses to your products or services.
Crisis Management
Receive automatic alerts during spikes in negative sentiment to detect and manage potential crises early on.
Integrate Sentiment Analysis into Your Business
Develop more effective customer experience strategies and boost customer satisfaction by understanding the emotional tones in customer reviews.